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Computational Social Networks pp 269–290Cite as

Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments

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Abstract

There has been an increased demand for characterizing user access patterns using data mining techniques since the informative knowledge extracted from 3D server log files cannot only offer benefits for web site structure improvement but also for better understanding of user navigational behavior. In this paper, we present hypergraph-based clustering method, which utilize 3D user usage and traversal pattern information to capture user access pattern based on data mining model. This study presents a storage solution called Object-oriented HyperGraph-based Clustering (OHGC) approach, which employs hidden hinting among objects in virtual environments (VE). The OHGC takes frequent patterns for input that are discovered in the traversal databases, but with more efficient data management to assist in performance improvement. Analytical results reveal that the proposed approach for VE-based application hint clustering produces efficiency savings of up to 30% or more over conventional non-OHGC storage solutions, whereas the non-OHGC schemes for retrieve only achieve savings about 20% over conventional storage systems.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, WuFeng University, Taiwan, China

    Shao-Shin Hung

  2. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan

    Chih-Ming Chiu & Jyh-Jong Tsay

  3. Department of Applied Digital Media, WuFeng University, Chiayi, Taiwan

    Tsou Tsun Fu

  4. Department of Applied Game Technology, WuFeng University, Chiayi, Taiwan

    Jung Tzung Chen

Authors
  1. Shao-Shin Hung
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  2. Chih-Ming Chiu
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  3. Tsou Tsun Fu
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  4. Jung Tzung Chen
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  5. Jyh-Jong Tsay
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Corresponding author

Correspondence to Shao-Shin Hung .

Editor information

Editors and Affiliations

  1. Auburn, 98071, USA

    Ajith Abraham

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© 2012 Springer-Verlag London

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Hung, SS., Chiu, CM., Fu, T.T., Chen, J.T., Tsay, JJ. (2012). Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments. In: Abraham, A. (eds) Computational Social Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4054-2_11

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  • DOI: https://doi.org/10.1007/978-1-4471-4054-2_11

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  • Online ISBN: 978-1-4471-4054-2

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